International Journal of Dynamics and Control
https://doi.org/10.1007/s40435-019-00531-y
Complex dynamics from a novel memristive 6D hyperchaotic
autonomous system
Brice Anicet Mezatio
1,2
· Marceline Motchongom Tingue
3
· Romanic Kengne
1,2
· Aurelle Tchagna Kouanou
2
·
Theophile Fozin Fonzin
2
· Robert Tchitnga
1,2
Received: 30 November 2018 / Revised: 20 February 2019 / Accepted: 14 March 2019
© Springer-Verlag GmbH Germany, part of Springer Nature 2019
Abstract
A simple 5D hyperchaotic system recently introduced in the literature is modified by using a charge-controlled memristor
model and striking behaviors are uncovered. The resulting system is a 6D hyperchaotic system, which generates hidden
attractors with the unusual feature of having plan and line equilibrium under different parameter conditions. Its dynamical
behaviors are characterized through bifurcation diagrams, Lyapunov exponents, phase portraits, Poincaré sections and time
series. Rich nonlinear dynamics such as limit cycles, quasi-periodicity, chaos, hyperchaos, bursting and hidden extreme
multistability are found for appropriate sets of parameter values. The high complexity of the system is confirmed by its
Kaplan–yorke dimension (greater than five). Additionally, an electronic circuit is designed to implement the novel system
and PSpice simulation results are in good accordance with the numerical investigations. To the best of our knowledge, this
system is the first with higher order presenting all those phenomena.
Keywords 6D hyperchaotic system · Hidden extreme multistability · Bursting oscillations · Offset boosting
1 Introduction
An article [1] by Leon Chua appeared in 1971, presenting the
logical and scientific basis for the existence of a fourth fun-
damental circuit element called the memristor (a contraction
for memory resistor); resistor, inductor, and capacitor being
the three others. However, memristor was largely ignored
by the scientific community until the seminal publication by
Strukov and co-workers announcing that the missing circuit
element has been found [2]. After this first memristor from
HP (Hewlett Packard) laboratories, many others have been
fabricated [3–7]. Sine then, though memristor is yet to be
B Romanic Kengne
kengneromaric@gmail.com
1
Research Group on Experimental and Applied Physics for
Sustainable Development, Department of Physics,
Faculty of Science, University of Dschang, P.O. Box 412,
Dschang, Cameroon
2
Unité de Recherche de Matière Condensée d’Electronique et
de Traitement du Signal (URMACETS), Department of
Physics, Faculty of Science, University of Dschang,
P.O. Box 67, Dschang, Cameroon
3
Higher Technical Teachers Training College,
University of Bamenda, P.O. Box 39, Bambili, Cameroon
commercially available, emulator memristors are often used
to explore applications in science and engineering. Mem-
ristors can be used as synapses in neuromorphic circuits [8];
memristive devices have been studied as promising candidate
for emerging non-volatile memory technology [4,6]. In addi-
tion, they have now been widely adopted to produce complex
dynamics, because of their nonlinearity and memory ability.
These include multistability [9–15] and hidden extreme mul-
tistability [16–18].
Appropriate definition of hidden attractors can be found in
relevant literature [19–22]. Roughly speaking, they occur in
dynamical systems without any equilibrium points [17,23];
with only stable equilibria [24] or infinite equilibrium points
[25–28]. However, hidden attractors are important in engi-
neering applications because they allow unexpected and
potentially disastrous responses to perturbations in a struc-
ture like a bridge or an airplane wing [26]. Furthermore,
coexistence of different kinds of hidden attractors as the
initial condition of a certain state variable changes(hidden
multistability) yields more uncertainty; specially when the
number of coexisting attractors tends to infinite, a phe-
nomenon known as hidden extreme multistability. A char-
acteristic which is useful in cryptography and many other
chaos based applications. As a matter of fact, analysis of
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